Audio Puzzler

Overview

We have developed an audio-based casual puzzle game which produces a time-stamped transcription of spoken audio as a by-product of play. Our evaluation of the game indicates that it is both fun and challenging. The transcripts generated using the game are more accurate than those produced using a standard automatic transcription system and the time-stamps of words are within several hundresd milliseconds of ground truth.

About

I'm an Assistant Professor at the University of Maryland, College Park College of Journalism. I study computational and data journalism with an emphasis on algorithmic accountability, narrative data visualization, and social computing in the news. I'm also a consultant specializing in research, design, and development for computational media applications. Find me on Twitter: @ndiakopoulos